← All roles

Manager, Field Engineering

Databricks· Engineering
Apply on company site
Hybrid (Remote - Texas)$172.5k - $237.2kFull-timePosted 3w ago

About the role

Lead a team of technical customer advisors to solve complex data, analytics, and AI challenges, partnering with Sales and cross-functional teams to translate customer priorities into effective technical strategies, outcomes, and business impact.

Responsibilities

  • Lead, coach, and develop a high-performing and inclusive Field Engineering team.
  • Partner with account teams to define technical-win strategy, qualify opportunities, prioritize customer needs, and align team resources.
  • Build trusted relationships with customer stakeholders at Director-, Head of-, and VP-level.
  • Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization for customer engagements.
  • Establish regular operating rhythms to inspect progress, customer health, technical risk, escalations, capacity, and business impact.
  • Coach team members to communicate clearly, navigate ambiguity, influence stakeholders, and connect technical recommendations to business outcomes.
  • Maintain technical credibility across Databricks platform concepts, data and AI technologies, cloud architecture, governance, security, and networking.
  • Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve outcomes.
  • Create a culture of psychological safety, inclusion, accountability, continuous learning, and recognition.
  • Experiment with AI-enabled tools and repeatable practices that improve team productivity and customer impact.

Qualifications

  • Experience leading technical customer-facing professionals in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
  • A track record of hiring, coaching, motivating, and retaining strong technical talent.
  • Ability to provide timely feedback, hold clear career conversations, recognize contributions, and address performance issues directly and compassionately.
  • Strong customer-advisory skills, including discovery, executive communication, technical storytelling, and value-based solutioning.
  • Practical technical judgment and the ability to coach team members through architecture, deployment, adoption, and risk discussions.
  • Operational discipline: you use data and inspection mechanisms to identify issues, make priorities visible, remove blockers, and drive predictable execution.
  • An AI-first, builder mindset: you learn quickly, test new approaches, incorporate feedback, and use AI to improve customer and team outcomes.
  • Demonstrated alignment with Databricks Culture Principles, including humility, curiosity, transparency, inclusion, and accountability.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
Company profileWebsite

More open roles at Databricks